Extensive profiling of the mouse liver proteome conducted at the Baylor College of Medicine. Includes hepatacytes and liver tissue, different localizations, fasting, treatment with lipopolysaccharide. Used C57 strain lab mice.

1.9E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.23E3Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.82E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.82E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.92E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.37E2Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.5E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.86E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.67E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.13E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

1.13E1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

9.68E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.35E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.97E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

7.57E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.78E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

5.17E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

4.53E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.93E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

3.11E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.38E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

2.14E0Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

8.87E-1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.

4.78E-1Parts per MillionThe number of spectral counts (SC) is approximately proportional to the product of the protein concentration and molecular weight (MW), therefore we estimate the fraction of total molecules in parts per million (PPM) by $$PPM_i={SC_i\/MW_i}/∑↙{j=1}↖n {SC_j\/MW_j}$$ where MWi is the molecular weight and SCi is the number of spectral counts for protein i and the summation in the denominator is over all the proteins identified in the experiment for a given tissue and condition.